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A unified approach to salient object detection via low rank matrix recovery
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Gabor Analysis and Algorithms: Theory and Applications
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Detecting Irregularities in Images and in Video
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Saliency, Scale and Image Description
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Mean shift: a robust approach toward feature space analysis
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A model of saliency-based visual attention for rapid scene analysis
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An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
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Learning to Detect A Salient Object
inferredcites →https://doi.org/10.1109/cvpr.2007.383267openalex-snapshot
Saliency Detection: A Spectral Residual Approach
inferredcites →https://doi.org/10.1109/cvpr.2009.5206596openalex-snapshot
Frequency-tuned salient region detection
inferredcites →https://doi.org/10.1109/cvpr.2010.5539927openalex-snapshot
Measuring visual saliency by Site Entropy Rate
inferredcites →https://doi.org/10.1109/cvpr.2010.5539929openalex-snapshot
Context-aware saliency detection
inferredcites →https://doi.org/10.1109/cvpr.2011.5995344openalex-snapshot
Global contrast based salient region detection
inferredcites →https://doi.org/10.1109/iccv.2007.4408851openalex-snapshot
Bottom-up saliency is a discriminant process
inferredcites →https://doi.org/10.1109/iccv.2009.5459240openalex-snapshot
Image saliency by isocentric curvedness and color
inferredcites →https://doi.org/10.1109/iccv.2009.5459462openalex-snapshot
Learning to predict where humans look
inferredcites →https://doi.org/10.1109/iccv.2009.5459467openalex-snapshot
A framework for visual saliency detection with applications to image thumbnailing
inferredcites →https://doi.org/10.1109/iccv.2011.6126499openalex-snapshot
Center-surround divergence of feature statistics for salient object detection
inferredcites →https://doi.org/10.1109/icip.1995.537667openalex-snapshot
The steerable pyramid: a flexible architecture for multi-scale derivative computation
inferredcites →https://doi.org/10.1109/lsp.2010.2053200openalex-snapshot
Visual Saliency Detection via Sparsity Pursuit
inferredcites →https://doi.org/10.1109/tpami.2010.70openalex-snapshot
Learning to Detect a Salient Object
inferredcites →https://doi.org/10.1117/1.1389063openalex-snapshot
Visual attention and target detection in cluttered natural scenes
inferredcites →https://doi.org/10.1137/070697835openalex-snapshot
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
inferredcites →https://doi.org/10.1145/1180639.1180824openalex-snapshot
Visual attention detection in video sequences using spatiotemporal cues
inferredcites →https://doi.org/10.1145/957013.957094openalex-snapshot
Contrast-based image attention analysis by using fuzzy growing
inferredcites →https://doi.org/10.1167/8.7.32openalex-snapshot
SUN: A Bayesian framework for saliency using natural statistics
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0073openalex-snapshot
Graph-Based Visual Saliency
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0091openalex-snapshot
A Nonparametric Approach to Bottom-Up Visual Saliency
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Low-Rank Matrix Recovery via Continuation-Based Approximate Low-Rank Minimization
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Integrating Multiscale Contrast Regions for Saliency Detection
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Low-Rank Matrix Recovery for Traffic Sign Recognition in Image Sequences
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Two-Stage Saliency Detection Based on Continuous CRF and Sparse Coding
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Saliency refinement: Towards a uniformly highlighted salient object
inferred← citeshttps://doi.org/10.1016/j.image.2018.10.005openalex-snapshot
Saliency detection via background and foreground null space learning
inferred← citeshttps://doi.org/10.1016/j.image.2019.03.012openalex-snapshot
Quality-aware dual-modal saliency detection via deep reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.imavis.2015.06.007openalex-snapshot
Complex event recognition using constrained low-rank representation
inferred← citeshttps://doi.org/10.1016/j.imavis.2016.10.008openalex-snapshot
Salient object detection with low-rank approximation and ℓ2,1-norm minimization
inferred← citeshttps://doi.org/10.1016/j.infrared.2013.05.010openalex-snapshot
Drogue detection for vision-based autonomous aerial refueling via low rank and sparse decomposition with multiple features
inferred← citeshttps://doi.org/10.1016/j.infrared.2016.05.002openalex-snapshot
Local graph regularized coding for salient object detection
inferred← citeshttps://doi.org/10.1016/j.infrared.2018.08.004openalex-snapshot
Infrared and visible image fusion using co-occurrence filter
inferred← citeshttps://doi.org/10.1016/j.ins.2018.10.003openalex-snapshot
Online Schatten quasi-norm minimization for robust principal component analysis
inferred← citeshttps://doi.org/10.1016/j.ins.2019.02.002openalex-snapshot
MCCH: A novel convex hull prior based solution for saliency detection
inferred← citeshttps://doi.org/10.1016/j.ins.2020.04.028openalex-snapshot
Estimation of the parameters of a weighted nuclear norm model and its application in image denoising
inferred← citeshttps://doi.org/10.1016/j.ins.2020.08.100openalex-snapshot
Fabric defect detection via low-rank decomposition with gradient information and structured graph algorithm
inferred← citeshttps://doi.org/10.1016/j.jocs.2017.07.007openalex-snapshot
Salient region detection and object segmentation in color images using dynamic mode decomposition
inferred← citeshttps://doi.org/10.1016/j.jvcir.2015.06.012openalex-snapshot
Towards robust subspace recovery via sparsity-constrained latent low-rank representation
inferred← citeshttps://doi.org/10.1016/j.jvcir.2015.08.003openalex-snapshot
Saliency detection based on singular value decomposition
inferred← citeshttps://doi.org/10.1016/j.jvcir.2016.06.013openalex-snapshot
Visual saliency detection based on homology similarity and an experimental evaluation
inferred← citeshttps://doi.org/10.1016/j.jvcir.2016.10.015openalex-snapshot
Saliency-based dense trajectories for action recognition using low-rank matrix decomposition
inferred← citeshttps://doi.org/10.1016/j.jvcir.2017.01.007openalex-snapshot
An image texture insensitive method for saliency detection
inferred← citeshttps://doi.org/10.1016/j.jvcir.2017.02.004openalex-snapshot
High-level background prior based salient object detection
inferred← citeshttps://doi.org/10.1016/j.jvcir.2017.04.001openalex-snapshot
A global and local consistent ranking model for image saliency computation
inferred← citeshttps://doi.org/10.1016/j.jvcir.2017.06.013openalex-snapshot
Salient object detection via boosting object-level distinctiveness and saliency refinement
inferred← citeshttps://doi.org/10.1016/j.jvcir.2017.11.004openalex-snapshot
Saliency ranker: A new salient object detection method
inferred← citeshttps://doi.org/10.1016/j.jvcir.2017.12.006openalex-snapshot
Salient object detection via spectral graph weighted low rank matrix recovery
inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.01.004openalex-snapshot
Saliency detection via local structure propagation
inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.01.014openalex-snapshot
Video saliency detection via bagging-based prediction and spatiotemporal propagation
inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.02.015openalex-snapshot
Saliency detection via bi-directional propagation
inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.03.008openalex-snapshot
Integrating QDWD with pattern distinctness and local contrast for underwater saliency detection
inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.04.006openalex-snapshot
Saliency propagation with perceptual cues and background-excluded seeds
inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.08.017openalex-snapshot
Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection
inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.11.012openalex-snapshot
A spatial-frequency-temporal domain based saliency model for low contrast video sequences
inferred← citeshttps://doi.org/10.1016/j.jvcir.2019.102727openalex-snapshot
Salient object detection via two-stage absorbing Markov chain based on background and foreground
inferred← citeshttps://doi.org/10.1016/j.jvcir.2021.103151openalex-snapshot
Saliency detection via coarse-to-fine diffusion-based compactness with weighted learning affinity matrix
inferred← citeshttps://doi.org/10.1016/j.jvcir.2021.103259openalex-snapshot
A salient object detection framework using linear quadratic regulator controller
inferred← citeshttps://doi.org/10.1016/j.knosys.2017.03.002openalex-snapshot
Unsupervised feature selection via low-rank approximation and structure learning
inferred← citeshttps://doi.org/10.1016/j.measurement.2022.111429openalex-snapshot
Cross-Scale Edge Purification Network for salient object detection of steel defect images
inferred← citeshttps://doi.org/10.1016/j.neucom.2013.12.023openalex-snapshot
Saliency-guided improvement for hand posture detection and recognition
inferred← citeshttps://doi.org/10.1016/j.neucom.2014.10.056openalex-snapshot
Saliency detection via background and foreground seed selection
inferred← citeshttps://doi.org/10.1016/j.neucom.2014.12.080openalex-snapshot
Saliency detection via sparse reconstruction and joint label inference in multiple features
inferred← citeshttps://doi.org/10.1016/j.neucom.2014.12.110openalex-snapshot
Object co-segmentation via salient and common regions discovery
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.02.086openalex-snapshot
Saliency generation from complex scene via digraph and Bayesian inference
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.03.042openalex-snapshot
Light field saliency vs. 2D saliency: A comparative study
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.03.122openalex-snapshot
Saliency detection via a unified generative and discriminative model
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.05.073openalex-snapshot
Saliency detection using hierarchical manifold learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.07.031openalex-snapshot
Discriminative low-rank dictionary learning for face recognition
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.10.066openalex-snapshot
Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.10.080openalex-snapshot
Image fusion with saliency map and interest points
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.02.044openalex-snapshot
Local graph regularized sparse reconstruction for salient object detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.04.036openalex-snapshot
Predicting salient object via multi-level features
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.07.051openalex-snapshot
Saliency detection integrating both background and foreground information
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.08.066openalex-snapshot
Saliency detection via extreme learning machine
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.10.007openalex-snapshot
Saliency detection via joint modeling global shape and local consistency
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.11.056openalex-snapshot
CNN for saliency detection with low-level feature integration
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.12.028openalex-snapshot
Salient region detection via locally smoothed label propagation: With application to attention driven image abstraction
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.02.007openalex-snapshot
Diffusion-based saliency detection with optimal seed selection scheme
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.02.064openalex-snapshot
Salient object detection via color and texture cues
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.03.016openalex-snapshot
A superpixel-based CRF saliency detection approach
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